R E Leake

942 total citations
34 papers, 796 citations indexed

About

R E Leake is a scholar working on Genetics, Oncology and Molecular Biology. According to data from OpenAlex, R E Leake has authored 34 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 10 papers in Oncology and 9 papers in Molecular Biology. Recurrent topics in R E Leake's work include Estrogen and related hormone effects (16 papers), HER2/EGFR in Cancer Research (5 papers) and Endometrial and Cervical Cancer Treatments (4 papers). R E Leake is often cited by papers focused on Estrogen and related hormone effects (16 papers), HER2/EGFR in Cancer Research (5 papers) and Endometrial and Cervical Cancer Treatments (4 papers). R E Leake collaborates with scholars based in United Kingdom, Netherlands and Italy. R E Leake's co-authors include J. M. Barry, Fred C.G.J. Sweep, S. Cowan, David C. Smith, T J Benraad, J.J.T.M. Heuvel, Benita S. Katzenellenbogen, Kenneth C. Calman, Fergus Macbeth and D. Crawford and has published in prestigious journals such as Cancer, Trends in Biochemical Sciences and British Journal of Cancer.

In The Last Decade

R E Leake

34 papers receiving 738 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
R E Leake United Kingdom 17 321 282 247 206 103 34 796
Christian Rougeot France 11 406 1.3× 195 0.7× 202 0.8× 329 1.6× 69 0.7× 13 826
F. Capony France 14 561 1.7× 300 1.1× 269 1.1× 497 2.4× 65 0.6× 23 1.2k
Daniel S. Liscia United States 18 641 2.0× 224 0.8× 564 2.3× 259 1.3× 33 0.3× 32 1.1k
Monique Chambon France 13 379 1.2× 189 0.7× 182 0.7× 272 1.3× 26 0.3× 24 704
A.‐C. Andres Switzerland 16 681 2.1× 334 1.2× 477 1.9× 107 0.5× 35 0.3× 19 1.2k
R. Sean Guenette Canada 9 347 1.1× 79 0.3× 405 1.6× 135 0.7× 39 0.4× 10 775
Muriel Morisset France 9 396 1.2× 207 0.7× 248 1.0× 422 2.0× 17 0.2× 11 842
Richard T. Hamilton United States 17 475 1.5× 85 0.3× 115 0.5× 136 0.7× 15 0.1× 28 755
Joan Bolt‐de Vries Netherlands 20 508 1.6× 242 0.9× 591 2.4× 598 2.9× 53 0.5× 34 1.4k
Shiming Jiang China 18 967 3.0× 332 1.2× 221 0.9× 178 0.9× 28 0.3× 40 1.3k

Countries citing papers authored by R E Leake

Since Specialization
Citations

This map shows the geographic impact of R E Leake's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by R E Leake with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R E Leake more than expected).

Fields of papers citing papers by R E Leake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R E Leake. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by R E Leake. The network helps show where R E Leake may publish in the future.

Co-authorship network of co-authors of R E Leake

This figure shows the co-authorship network connecting the top 25 collaborators of R E Leake. A scholar is included among the top collaborators of R E Leake based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R E Leake. R E Leake is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Leake, R E, et al.. (2003). Transforming growth factor b1 stimulates urokinase plasminogen activator system on prostate cancer cells. The International Journal of Biological Markers. 18(2). 147–151. 6 indexed citations
2.
Geurts‐Moespot, Anneke, et al.. (1997). A Sensitive and Robust Assay for Urokinase and Tissue-Type Plasminogen Activators (Upa and Tpa) and Their Inhibitor Type I (Pai-1) in Breast Tumor Cytosols. The International Journal of Biological Markers. 12(1). 6–14. 80 indexed citations
3.
Thomas, Siep, Ian L. Brown, Graham Hollins, et al.. (1996). Detection and distribution of heat shock proteins 27 and 90 in human benign and malignant prostatic tissue. British Journal of Urology. 77(3). 367–372. 31 indexed citations
4.
Benraad, Th. J., J Geurts-Moespot, J Grøndahl-Hansen, et al.. (1996). Immunoassays (ELISA) of urokinase-type plasminogen activator (uPA): Report of an EORTC/BIOMED-1 Workshop. European Journal of Cancer. 32(8). 1371–1381. 57 indexed citations
5.
Sharp, F., A. D. Blackett, R E Leake, & Jonathan S. Berek. (1995). Conclusions and recommendations from the Helene Harris Memorial Trust Fifth Biennial International Forum on Ovarian Cancer, May 4–7, 1995, Glasgow, UK. International Journal of Gynecological Cancer. 5(6). 449–458. 9 indexed citations
6.
Oberkanins, Christian, et al.. (1995). The performance of a commercial radioligand binding assay for the epidermal growth factor receptor is comparable to the EORTC standard assay. European Journal of Cancer. 31(10). 1710–1711. 1 indexed citations
7.
Castagnetta, L., et al.. (1992). The prognosis of breast cancer patients in relation to the oestrogen receptor status of both primary disease and involved nodes. British Journal of Cancer. 66(1). 167–170. 18 indexed citations
8.
Leake, R E, et al.. (1991). Growth factors in ovarian cancer. British Journal of Cancer. 64(6). 1177–1181. 20 indexed citations
9.
Brown, Iain, et al.. (1991). Epidermal growth factor receptors (EGFR) in human ovarian cancer. British Journal of Cancer. 64(5). 907–910. 31 indexed citations
10.
Cowan, S., et al.. (1990). Estrogen and progesterone receptors in ovarian cancer. Cancer. 65(3). 486–491. 57 indexed citations
11.
McIntosh, J., James Paul, R.P. Symonds, et al.. (1990). Oestrogen and progesterone receptors in carcinoma of the cervix. Clinical Oncology. 2(6). 313–317. 4 indexed citations
12.
Whitford, Paul C., et al.. (1987). Human monoclonal antibodies and monoclonal antibody multispecificity. British Journal of Cancer. 56(6). 709–713. 15 indexed citations
13.
Cowan, S., et al.. (1987). Stability of oestrogen receptor status in sequential biopsies from patients with breast cancer. British Journal of Cancer. 56(2). 137–140. 22 indexed citations
14.
Castagnetta, L., et al.. (1983). Intra-tumoural variation of oestrogen receptor status in endometrial cancer. British Journal of Cancer. 47(2). 261–267. 27 indexed citations
15.
Cowan, S., et al.. (1983). Stability of the human nuclear oestrogen receptor: influence of temperature and ionic strength. Journal of Endocrinology. 99(3). 423–433. 6 indexed citations
16.
Leake, R E, et al.. (1981). Estrogen receptors and antiestrogen therapy in selected human solid tumors.. PubMed. 64(6-7). 797–9. 14 indexed citations
17.
Leake, R E, et al.. (1981). Oestrogen-receptor status and endocrine therapy of breast cancer: response rates and status stability. British Journal of Cancer. 43(1). 59–66. 71 indexed citations
18.
Castagnetta, L., et al.. (1981). Breast cancer: A comparison of response to endocrine therapy and oestrogen excretion patterns including unusual metabolites. British Journal of Cancer. 44(5). 670–674. 10 indexed citations
19.
King, R.J.B., D M Barnes, R A Hawkins, et al.. (1978). Measurement of oestradiol receptors by five institutions on common tissue samples. British Journal of Cancer. 38(3). 428–430. 22 indexed citations
20.
Leake, R E. (1976). Current views on oestrogen receptors. Trends in Biochemical Sciences. 1(6). 137–139. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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